In this section, we conduct the experiments on two widely-used benchmark datasets, i.e., CUHK-SYSU [1]} and PRW [2]}. In the following, we first introduce the datasets, experimental settings, and implementation details. Subsequently, comparison results to state-of-the-art methods are demonstrated on these two datasets. Finally, we perform ablation studies to validate the effectiveness of context learning. Moreover, since our method is expected to capture meaningful context information,
successful identification relies less on the target person itself. To validate the advantages of our context-aware approach, we also conduct the experiments on the MovieNet dataset [3]} for the task of character search, where conventional person search approaches may fail in some cases because of the changing clothing of the same identity.
